Business Process Discovery

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Business Process Discovery"

Transcription

1 Sandeep Jadhav Introduction Well defined, organized, implemented, and managed Business Processes are very critical to the success of any organization that wants to operate efficiently. Business Process Management these days is not merely a buzzword but has become a very important field on which companies will want to focus. Typically when the companies are small, they have ad-hoc, non standard, non documented processes. However, as and when the companies start growing or have ambitious plans for growth, need for business process design and eventually BPM increases. Drivers for BPM implementation are as shown in the diagram below. There are various other dimensions that companies need to restructure, like IT architecture, operational model, etc., and they also eventually relate to the process architecture of the company. Companies may consider two options for revamping their processes. 1. Green Field Processes Companies may start afresh to design the processes right from scratch. They can refer to standards like etom and ITIL, available in the market and design processes that fit their business objectives, goals, and strategies. 2. Process Reengineering Companies may not want to throw away whatever they have, and can decide to modify the existing processes to build their new process regime. Existing processes in the company are studied, and bottlenecks or areas for improvement are identified. Future processes, designed on top of existing processes, provide solutions for the bottlenecks and problems identified. Figure 1. Drivers for Business Process Management o In Process Reengineering projects, the following problems may be seen that make analysis of AS-IS process very difficult. o Process is not documented. It is known to the people involved in the process and knowledge of the process revolves around them. 1

2 o All the details are not available in the process. o Process abstraction is not uniform. o Process implemented is different from the process designed and documented. o Process users do not follow the process as demonstrated. It is very critical, hence, to ensure that the AS-IS process is documented in every detail and as correctly as possible. (BPD) the discipline of BPM is a scientific way to extract the implemented process, validate it with the process owners, and create a baseline that gives a nearly exact AS-IS view of the business processes. It also helps to identify the process hierarchy, process owners, process entities, business rules, process operations, and statuses. is not very easy and quick. Due diligence and focus on the problem statement are key to the accuracy of the discovered process. This paper intends to assist in this tricky task of preparing for BPD and validating the output. PROCESS DISCOVERY TECHNIQUES can be done using two techniques. o Manual Process Analysts using interviewing techniques to derive the processes. o Automated Process Analysts use ABPD tools that can extract the process from databases or logs available with IT. Process discovery is a complex task, and, hence, either one or both of the techniques should be used. The complexity of process discovery depends on various dimensions. Critical dimensions are o Organization Structure Complexity If Organization structure and, therefore, the operating models are complex, process discovery becomes increasingly difficult. o Process Automation With automation, organizations can build complex logic and, thus, can create complex processes. Hence, increased automation is directly proportional to increased difficulty. o Process Maturity If the organization has the following, then process discovery become easier. o Process Architecture with defined level of abstraction o Process Owners o Documented Processes Figure 2. Discovery Complexity Graph 2

3 As the complexity of discovery increases, automated discovery plays a critical role. However, manual discovery technique is still required to extract the activities that are done manually as well as to validate the process extracted by automated discovery technique. The following table provides a relatively simple matrix for selection of appropriate technique. Scenario Process Type Discovery Technique 1 Heavily or Fully Manual Manual Discovery 2 Partially Automated Process Flow Manual + Automated Discovery 3 Zero Touch, Fully Automated Process Flow Automated Discovery Wherever partial or full automation is available, automated discovery should always be done first. Manual discovery should be carried out to identify the manual process and to validate the process discovered automatically. Scenario 3, mentioned above, is less likely as very few companies have fully automated their processes. Also scenario 1 is applicable to smaller companies where IT infrastructure is nonexistent or is limited to business enabling functions. Scenario 2 is the most likely scenario and, therefore, most of the time both the discovery techniques are required to be applied. Manual Discovery Manual process discovery involves interviewing techniques. Information is gathered from the stakeholders (read sources of information) and normally is in scattered format. Process Analysts have to join the pieces of information together to form the process flow. The right set of questions should be asked in order to get the required details of the process. Knowledge of the domain helps analysts to identify such questions and get relevant answers from the stakeholders. Manual Discovery typically goes through following phases. Discovery Workshops Process Analysts organize workshops or meetings with the required SMEs or Process Owners. Context is set, and objective is clearly communicated. SMEs provide a view of the process that they follow in their domain. Analysts take note of all the information from different SMEs so that it can be used to define the entire process. Analysts can ask leading questions to understand the process handovers between different units. The workshops can be conducted based on the following dimensions: 3

4 o Approach Centralized Process Analysts can bring all the stakeholders together in one workshop and get information from all the stakeholders at one go. The information will be like islands that the analyst may bridge, based on his understanding of the domain or by asking leading questions. If there are any conflicting views between the stakeholders, they can be cleared up immediately or noted down for tracking. The centralized approach should be considered when the process to be extracted is not very big and complex. Distributed Different meetings can be scheduled to gather information from different stakeholders individually or relating to a particular domain. Once information is gathered from all the meetings, analyst can bridge the gaps. There may be a conflict of views, which will be clear only in later stages. Hence, analysts have to ensure that they contact the stakeholders immediately whenever they sight any such potential conflict. o Process Hierarchy Top Down Analyst can begin at the highest level of abstraction of the processes and drill down to the detailed level. This means discussions with higher-level managers first, and then talking with the process owners or SMEs. Top Down discussions provide a very good business view of the problems. Analysts can relate the business view to the operational view very easily when they discuss with process owners or SMEs. Bottom Up Analysts gather detailed information from SMEs. Based on the information gathered, related pieces are tied together to build a higher level view. This may be little difficult as the information gathered may not be complete. o Technique Free Form Process Owners or SMEs provide the information, and analysts try to build process based on the information given by them. SMEs may miss out on some details and, hence, may leave a gap in the processes that isn t immediately apparent. Free Form technique can be used 4

5 when the domain is very specific to the company or the analyst does not have enough knowledge of the domain. Structured Analysts create a detailed questionnaire based on their understanding of the domain. SMEs provide answers to the questions and any additional information that they have. This scientific technique ensures consistency in the information provided by different SMEs. It is particularly helpful when the approach taken is of distributed meetings. Process Modeling Once all the pieces of information are put together and process flow defined, it is very important to present in a structured format and as agreed with the customer. If any process modeling tools are used, different process models should be created and linked to provide a comprehensive AS-IS process view. If tools are not used, the processes should be documented as per customer specifications. Generally, Microsoft Visio can be used in the absence of full-fledged process modeling tools. Different types of process diagrams can be created, based on the requirement. The different process models are - Hierarchical Process Flow Models - End to End Process Flow Models - Process Swim Lanes - Organization Chart - Resource Diagrams - Entity Flow Diagrams Ensure that correct details are put in the various models or in the process documentation. It is very important not to put too many details in the process, or the process will look too complicated or tedious. Review Workshops The AS-IS process discovered from the discussions needs to be signed off by the stakeholders. Process analysts have to organize a review (walkthrough) of the process defined. Any review comments are worked upon and the process modified in response. Review ensures that the process documented or modeled is as per the information given. While conducting process walkthrough, the analyst should ensure that all the conflicting points during the process discovery discussion sessions are reviewed and then agreed upon by the related stakeholders. Benefits Manual Process Discovery provides the following benefits: The process that is practiced is discovered. It may be different from the process that has been documented. People who practice the process may find convenient workarounds for the standard processes, and this is captured during manual process discovery. Many practical problems are also discovered that may provide a better view of the problem statement to the analysts. This helps in defining better TO-BE Process. Since stakeholders are involved in the discussions and for signoff, they are more than willing to contribute, become more accessible, and share a lot more insights 5

6 Challenges Where automation is very limited or not implemented correctly, manual process discovery is the only way to gather information. Though manual process discovery has certain benefits, it may be time consuming and difficult to gather the required information. It poses the following challenges: It may be difficult to identify the right mix of stakeholders / SMEs for discovery. The availability of stakeholders for discussion may break the sequence of gathering information. Information on the following may not become available in manual discovery. o Process Performance o Process Scalability o Business Exception / Failure statistics Resolution of conflicts between stakeholders Bridging the gap in the information received and defining the process Dos and Don ts Understand the problem statement carefully and confirm the scope at the beginning. Decide on the approach, hierarchy, and technique to follow. It s always good to prepare before the workshops, and structured questionnaires should be the preferred way to extract information. During discussions, if stakeholders are stuck at any issues, ensure that you note the issue and request resolution later. It helps to save time to discuss all the areas within the given timeframe. Understand the handover points and ask questions to ensure that there are no issues in process handovers from one process owner to the other. Automated Discovery In order to become more competitive, responsive, and efficient, companies try to maximize automation of their business / processes. IT systems implement complex business logic and complicated business processes. They can store each and every transaction made with all the relevant details. Hence, if the data that is operated and stored by different systems are analyzed, greater details of the process, business rules, volumetric will be available. However, doing this manually will be an almost impossible task, as the smallest of the systems will have hundreds or thousands of rows of data. There are applications available that do this task for you. These tools can be set up to read the databases, and they can create state models and eventually draw process models. 6

7 Figure 3. ABPD Tools The tools read the key data attributes, such as unique identifiers of the entities, their relationships, various timestamps, and status. Timestamp fields provide information on when the entities were created or modified. Hence, it is critical to know the timestamp. Discovery, with the help of such applications, is called Automated (ABPD). However, it may not be entirely automated for following reasons. Understanding of the database structure, its entities, and their relationship, and operations performed on the entities is required to be done manually. After this analysis of data, the relationship has to be set in the tool manually. Some of the tools only generate state models; process models may have to be drawn manually. Benefits Provides exact AS-IS visualization of the process that has been implemented / automated and not the one that has been defined and documented. Volumetric analysis of all the process steps is readily available. This is critical for quicker and accurate problem analysis. Provides view of all the exception paths along with volumes. It helps analysts to identify the bottlenecks in the processes very easily. Process view can be changed very easily to exclude exception paths or to reduce complexity, and vice versa. Process discovery can be done repeatedly with ease, to reflect any changes done in the processes. Process discovery can be done on archived data; therefore, with no impact on any day-to-day business. Challenges Security requirements of companies may not allow access to some business critical data of the company. Understanding of the entities, relationships, and operations poses a real challenge, as it may be technology specific. 7

8 Database may not be completely relational, and constraints may not be available. It makes identification of process flow for a single transaction very difficult. Where data may not be stored in separate attributes, but in some other format like CLOB or XML, establishing relationship between entities may not be possible, making discovery very difficult. Connecting to database may not be easy because of different connection technologies. Understanding database and initial set up of tools to read the data is time consuming. Dos and Don ts Identify all the systems that are involved in the process or problem under scope. Identify the databases that they update. If you don t have knowledge of the database, it s always good to seek the help of database administrators and system designers to understand the database. Identify the entities that are created, modified by the systems in scope. Shortlist the tables that relate to these entities and identify the data fields that contain timestamp. Timestamp is very important as tools use timestamp to identify the process flow. If data is stored in complex data type or in XML format, ensure that the tool can read such a format. If not supported, you probably need to find some other tool that supports reading such data types. Tools will have a limitation on the number of records that it can read from the database. Hence, ensure that you pick up minimum sufficient data from the database to read. If the outcome of the discovery doesn t give you an entire process map or a major functionality is not present in the discovered process, increase the data set. This can be an iterative trial and error process. Note down all the exception paths and their volume. This data is critical input for bottleneck analysis. Set up review calls with stakeholders and validate the process that you have captured. Discovery Tools There are quite a few tools available in the market, and some BPM tools are adding capability to discover business process or integrate with the discovery tools to analyze the discovered business process. Most of the early stage tools have been built on the mathematical / analytical model called Petri Net. However, recently developed tools have preferred a modeling language EPC to develop discovery algorithm. Some of the tools have been listed below. PRoM Fujitsu Interstage BMC Discovery IDS-SCHEER ARIS PPM5 Pallas Athena BPM one Process Mining Metastorm ProVision 8

9 Emerging Trends Though is not a new concept, its importance and use has increased recently. It has seen lot of changes from the 90s when the process discovery was in its initial phases. Application of ABPD has seen increasing acceptance in different industries. For complex organizations, ABPD is a very big relief. More and more companies will use ABPD for any process re-engineering and process management projects. ABPD, combined with process simulation, will not only provide the AS-IS view but the performance capability of the companies as well, providing much better insight into the problems than what current ABPD implementation can give. Better Analysis The analytical capability of the tools is on the increase. Currently, analysis is largely manual; however, future generations of the tools will see more automated analysis. Various analysis reports will be one click away. Tools will have the capability to compare AS-IS process with the standard library processes to identify gaps and will automatically suggest TO-BE processes as well. Closer Integration with end-to-end BPM The discovered AS-IS process view provides mainly activity flow or state model. The AS-IS process has to be manually drawn, based on the extracted process, to create a standardized process model. However, efforts are being made to integrate the ABPD into end-to-end BPM process so that the discovered process is automatically drawn as per standard modeling language. Since discovery will be coupled with end-to-end BPM, the discovered process can be simulated, compared against library, and a TO-BE process can be defined automatically. References 1, The challenges of process discovery by Laury Verner Author Sandeep Jadhav is a lead consultant with Infosys Technologies Limited with 8 years of experience in business process management, optimization, and transformation programs. He has lead and successfully delivered process transformation programs across various enterprises across the world. His current focus area is end-to-end process management automation to minimize the cycle time right from process discovery to process monitoring and control stages. Sandeep can be contacted at 9

10 BPTrends Linkedin Discussion Group We recently created a BPTrends Discussion Group on Linkedin to allow our members, readers and friends to freely exchange ideas on a wide variety of BPM related topics. We encourage you to initiate a new discussion on this publication or on other BPM related topics of interest to you, or to contribute to existing discussions. Go to Linkedin and join the BPTrends Discussion Group. 10

www.ducenit.com Self-Service Business Intelligence: The hunt for real insights in hidden knowledge Whitepaper

www.ducenit.com Self-Service Business Intelligence: The hunt for real insights in hidden knowledge Whitepaper Self-Service Business Intelligence: The hunt for real insights in hidden knowledge Whitepaper Shift in BI usage In this fast paced business environment, organizations need to make smarter and faster decisions

More information

A Process is Not Just a Flowchart (or a BPMN model)

A Process is Not Just a Flowchart (or a BPMN model) A Process is Not Just a Flowchart (or a BPMN model) The two methods of representing process designs that I see most frequently are process drawings (typically in Microsoft Visio) and BPMN models (and often

More information

Using Process Mining to Bridge the Gap between BI and BPM

Using Process Mining to Bridge the Gap between BI and BPM Using Process Mining to Bridge the Gap between BI and BPM Wil van der alst Eindhoven University of Technology, The Netherlands Process mining techniques enable process-centric analytics through automated

More information

Process-Based Business Transformation. Todd Lohr, Practice Director

Process-Based Business Transformation. Todd Lohr, Practice Director Process-Based Business Transformation Todd Lohr, Practice Director Process-Based Business Transformation Business Process Management Process-Based Business Transformation Service Oriented Architecture

More information

Business Process Management In An Application Development Environment

Business Process Management In An Application Development Environment Business Process Management In An Application Development Environment Overview Today, many core business processes are embedded within applications, such that it s no longer possible to make changes to

More information

What makes a good process?

What makes a good process? Rob Davis Everyone wants a good process. Our businesses would be more profitable if we had them. But do we know what a good process is? Would we recognized one if we saw it? And how do we ensure we can

More information

What is a process? So a good process must:

What is a process? So a good process must: PROCESS DESIGN BEST PRACTICES TABLE OF CONTENTS 1 What is a process? 2 The five Ws of process design 3 Standards are key 4 The how creating a model 5 How do you know when you have finished? 6 About ARIS

More information

Nr.: Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg

Nr.: Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg Nr.: Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg Nr.: Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg Impressum ( 5 TMG) Herausgeber: Otto-von-Guericke-Universität Magdeburg

More information

Data Warehouse and Business Intelligence Testing: Challenges, Best Practices & the Solution

Data Warehouse and Business Intelligence Testing: Challenges, Best Practices & the Solution Warehouse and Business Intelligence : Challenges, Best Practices & the Solution Prepared by datagaps http://www.datagaps.com http://www.youtube.com/datagaps http://www.twitter.com/datagaps Contact contact@datagaps.com

More information

www.ducenit.com Analance Data Integration Technical Whitepaper

www.ducenit.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

BPM Group Coaching Process Level Program

BPM Group Coaching Process Level Program BPM Group Coaching Process Level Program Effective Business Process Management education and capability development in the classroom in the workplace and online Business Process Management Group Coaching.

More information

Pitfalls and Best Practices in Role Engineering

Pitfalls and Best Practices in Role Engineering Bay31 Role Designer in Practice Series Pitfalls and Best Practices in Role Engineering Abstract: Role Based Access Control (RBAC) and role management are a proven and efficient way to manage user permissions.

More information

WebSphere Business Modeler

WebSphere Business Modeler Discovering the Value of SOA WebSphere Process Integration WebSphere Business Modeler Workshop SOA on your terms and our expertise Soudabeh Javadi Consulting Technical Sales Support WebSphere Process Integration

More information

Lluis Belanche + Alfredo Vellido. Intelligent Data Analysis and Data Mining. Data Analysis and Knowledge Discovery

Lluis Belanche + Alfredo Vellido. Intelligent Data Analysis and Data Mining. Data Analysis and Knowledge Discovery Lluis Belanche + Alfredo Vellido Intelligent Data Analysis and Data Mining or Data Analysis and Knowledge Discovery a.k.a. Data Mining II An insider s view Geoff Holmes: WEKA founder Process Mining

More information

DEVELOPMENT OF A WORKFLOW APPLICATION FOR VEHICLE FLEET MANAGEMENT: A CASE STUDY OF GUINNESS NIGERIA PLC

DEVELOPMENT OF A WORKFLOW APPLICATION FOR VEHICLE FLEET MANAGEMENT: A CASE STUDY OF GUINNESS NIGERIA PLC DEVELOPMENT OF A WORKFLOW APPLICATION FOR VEHICLE FLEET MANAGEMENT: A CASE STUDY OF GUINNESS NIGERIA PLC 1,* John B. Oladosu, 2 Oludare Opaleye & 3 Olusayo D. Fenwa Computer Science and Engineering Department,

More information

How to bridge the gap between business, IT and networks

How to bridge the gap between business, IT and networks ericsson White paper Uen 284 23-3272 October 2015 How to bridge the gap between business, IT and networks APPLYING ENTERPRISE ARCHITECTURE PRINCIPLES TO ICT TRANSFORMATION A digital telco approach can

More information

BI Dashboards the Agile Way

BI Dashboards the Agile Way BI Dashboards the Agile Way Paul DeSarra Paul DeSarra is Inergex practice director for business intelligence and data warehousing. He has 15 years of BI strategy, development, and management experience

More information

CHAPTER 5: BUSINESS ANALYTICS

CHAPTER 5: BUSINESS ANALYTICS Chapter 5: Business Analytics CHAPTER 5: BUSINESS ANALYTICS Objectives The objectives are: Describe Business Analytics. Explain the terminology associated with Business Analytics. Describe the data warehouse

More information

ProM 6 Exercises. J.C.A.M. (Joos) Buijs and J.J.C.L. (Jan) Vogelaar {j.c.a.m.buijs,j.j.c.l.vogelaar}@tue.nl. August 2010

ProM 6 Exercises. J.C.A.M. (Joos) Buijs and J.J.C.L. (Jan) Vogelaar {j.c.a.m.buijs,j.j.c.l.vogelaar}@tue.nl. August 2010 ProM 6 Exercises J.C.A.M. (Joos) Buijs and J.J.C.L. (Jan) Vogelaar {j.c.a.m.buijs,j.j.c.l.vogelaar}@tue.nl August 2010 The exercises provided in this section are meant to become more familiar with ProM

More information

Process Harmonization to address High Cost of Compliance : Insights from Implementation. Keerthana Mainkar & Jude Fernadez

Process Harmonization to address High Cost of Compliance : Insights from Implementation. Keerthana Mainkar & Jude Fernadez Process Harmonization to address High Cost of Compliance : Insights from Implementation Keerthana Mainkar & Jude Fernadez 16 th September 2010 Topics to be covered Introduction Compliance as a driver Process

More information

The Resource Management Life Cycle

The Resource Management Life Cycle The Resource Management Life Cycle Resource Planning for 2013 Revised November 2012 http://epmlive.com Contents Introduction...2 What is Resource Management?...2 Who Participates in Resource Management?...2

More information

Achieving Business Analysis Excellence

Achieving Business Analysis Excellence RG Perspective Achieving Business Analysis Excellence Turning Business Analysts into Key Contributors by Building a Center of Excellence 11 Canal Center Plaza Alexandria, VA 22314 HQ 703-548-7006 Fax 703-684-5189

More information

Foundations for Systems Development

Foundations for Systems Development Foundations for Systems Development ASSIGNMENT 1 Read this assignment introduction. Then, read Chapter 1, The Systems Development Environment, on pages 2 25 in your textbook. What Is Systems Analysis and

More information

Southbeach, P-TRIZ, now has software support - Free modeller for reference release

Southbeach, P-TRIZ, now has software support - Free modeller for reference release Southbeach, P-TRIZ, now has software support - Free modeller for reference release H. Smith, M. Burnett, C. Young feedback@southbeachinc.com In May of 2008 we published a comprehensive specification at

More information

Mercy Health System. St. Louis, MO. Process Mining of Clinical Workflows for Quality and Process Improvement

Mercy Health System. St. Louis, MO. Process Mining of Clinical Workflows for Quality and Process Improvement Mercy Health System St. Louis, MO Process Mining of Clinical Workflows for Quality and Process Improvement Paul Helmering, Executive Director, Enterprise Architecture Pete Harrison, Data Analyst, Mercy

More information

Introduction to BPMN

Introduction to BPMN Stephen A. White, IBM Corporation Abstract This paper is intended to provide a high-level overview and introduction to the Business Process Modeling Notation (BPMN). The context and general uses for BPMN

More information

Hospital Performance Management: From Strategy to Operations

Hospital Performance Management: From Strategy to Operations Hospital Performance Management: From Strategy to Operations Every hospital wants to be on top in terms of revenue and quality of care. It is tough enough to get to the top, but tougher still to stay there.

More information

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION 1 CHAPTER 1 INTRODUCTION Exploration is a process of discovery. In the database exploration process, an analyst executes a sequence of transformations over a collection of data structures to discover useful

More information

Data warehouse and Business Intelligence Collateral

Data warehouse and Business Intelligence Collateral Data warehouse and Business Intelligence Collateral Page 1 of 12 DATA WAREHOUSE AND BUSINESS INTELLIGENCE COLLATERAL Brains for the corporate brawn: In the current scenario of the business world, the competition

More information

Process Mining Tools: A Comparative Analysis

Process Mining Tools: A Comparative Analysis EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science Process Mining Tools: A Comparative Analysis Irina-Maria Ailenei in partial fulfillment of the requirements for the degree

More information

Software Engineering Prof. N.L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture-4 Overview of Phases (Part - II)

Software Engineering Prof. N.L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture-4 Overview of Phases (Part - II) Software Engineering Prof. N.L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture-4 Overview of Phases (Part - II) We studied the problem definition phase, with which

More information

Finding Business Rules in COBOL Systems

Finding Business Rules in COBOL Systems Finding Business Rules in COBOL Systems Use Case for evolveit Scott Hesser 6/1/2013 pg. 1 blackboxit.com Understanding the 1 st step to Modernization Large commercial organizations have been developing

More information

Expert Reference Series of White Papers. Intersecting Project Management and Business Analysis

Expert Reference Series of White Papers. Intersecting Project Management and Business Analysis Expert Reference Series of White Papers Intersecting Project Management and Business Analysis 1-800-COURSES www.globalknowledge.com Intersecting Project Management and Business Analysis Daniel Stober,

More information

Working with telecommunications

Working with telecommunications Working with telecommunications Minimizing churn in the telecommunications industry Contents: 1 Churn analysis using data mining 2 Customer churn analysis with IBM SPSS Modeler 3 Types of analysis 3 Feature

More information

Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole

Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole Paper BB-01 Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole ABSTRACT Stephen Overton, Overton Technologies, LLC, Raleigh, NC Business information can be consumed many

More information

Enterprise IT Architectures BPM (Business Process Management)

Enterprise IT Architectures BPM (Business Process Management) Dr. Hans-Peter Hoidn Executive Architect IBM Software Group Enterprise IT Architectures BPM (Business Process Management) Introduction 2 Agenda of this Part Business Process Management (BPM), a relatively

More information

Integrate Big Data into Business Processes and Enterprise Systems. solution white paper

Integrate Big Data into Business Processes and Enterprise Systems. solution white paper Integrate Big Data into Business Processes and Enterprise Systems solution white paper THOUGHT LEADERSHIP FROM BMC TO HELP YOU: Understand what Big Data means Effectively implement your company s Big Data

More information

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics WHITE PAPER Harnessing the Power of Advanced How an appliance approach simplifies the use of advanced analytics Introduction The Netezza TwinFin i-class advanced analytics appliance pushes the limits of

More information

Overview. The Knowledge Refinery Provides Multiple Benefits:

Overview. The Knowledge Refinery Provides Multiple Benefits: Overview Hatha Systems Knowledge Refinery (KR) represents an advanced technology providing comprehensive analytical and decision support capabilities for the large-scale, complex, mission-critical applications

More information

HOW TO GET STARTED WITH DATA MODELING

HOW TO GET STARTED WITH DATA MODELING By Laura Brandenburg, CBAP Lesson Objective: After completing this lesson, you will understand the role of data modeling in the business analysis lifecycle and why it is important for business stakeholders

More information

Medical Data Review and Exploratory Data Analysis using Data Visualization

Medical Data Review and Exploratory Data Analysis using Data Visualization Paper PP10 Medical Data Review and Exploratory Data Analysis using Data Visualization VINOD KERAI, ROCHE, WELWYN, UKINTRODUCTION Drug Development has drastically changed in the last few decades. There

More information

Visualization methods for patent data

Visualization methods for patent data Visualization methods for patent data Treparel 2013 Dr. Anton Heijs (CTO & Founder) Delft, The Netherlands Introduction Treparel can provide advanced visualizations for patent data. This document describes

More information

Anatomy of a Decision

Anatomy of a Decision research@bluehillresearch.com @BlueHillBoston 617.624.3600 Anatomy of a Decision BI Platform vs. Tool: Choosing Birst Over Tableau for Enterprise Business Intelligence Needs What You Need To Know The demand

More information

Enterprise IT Architectures BPM (Business Process Management)

Enterprise IT Architectures BPM (Business Process Management) Dr. Hans-Peter Hoidn Executive Architect, IBM Distinguished IT Architect (Opengroup) Enterprise IT Architectures BPM (Business Process Management) Introduction 2 Agenda of this Part Business Process Management

More information

ABACUS for Business Process Management

ABACUS for Business Process Management ABACUS for Business Process Management Business Process Management (BPM) is one of the most popular methods for retaining business viability in a competitive market. ABACUS supports practitioners in managing

More information

Modernized and Maintainable Code. Frank Weil, Ph.D. UniqueSoft, LLC

Modernized and Maintainable Code. Frank Weil, Ph.D. UniqueSoft, LLC Modernized and Maintainable Code Frank Weil, Ph.D. UniqueSoft, LLC UniqueSoft is a provider of next-generation software development tools and services specializing in modernizing legacy software using

More information

A full spectrum of analytics you can get yourself

A full spectrum of analytics you can get yourself Industry area A full spectrum of analytics you can get yourself 5 reasons to choose IBM for self-service business intelligence Contents Self-service business intelligence that paints a full picture 3 Reason

More information

BPM Methodologies: Turning the Land of Confusion into Solutions for your BPM Initiatives. Alan Ramias Partner PERFORMANCE DESIGN LAB

BPM Methodologies: Turning the Land of Confusion into Solutions for your BPM Initiatives. Alan Ramias Partner PERFORMANCE DESIGN LAB BPM Methodologies: Turning the Land of Confusion into Solutions for your BPM Initiatives Alan Ramias Partner PERFORMANCE DESIGN LAB The Uses of BPM Methodology To define/describe processes To improve processes

More information

Moving Forward with IT Governance and COBIT

Moving Forward with IT Governance and COBIT Moving Forward with IT Governance and COBIT Los Angeles ISACA COBIT User Group Tuesday 27, March 2007 IT GRC Questions from the CIO Today s discussion focuses on the typical challenges facing the CIO around

More information

A. Waterfall Model - Requirement Analysis. System & Software Design. Implementation & Unit Testing. Integration & System Testing.

A. Waterfall Model - Requirement Analysis. System & Software Design. Implementation & Unit Testing. Integration & System Testing. Processing Models Of SDLC Mrs. Nalkar Sanjivani Baban Asst. Professor, IT/CS Dept, JVM s Mehta College,Sector 19, Airoli, Navi Mumbai-400708 Nalkar_sanjivani@yahoo.co.in Abstract This paper presents an

More information

Modeling Guidelines Manual

Modeling Guidelines Manual Modeling Guidelines Manual [Insert company name here] July 2014 Author: John Doe john.doe@johnydoe.com Page 1 of 22 Table of Contents 1. Introduction... 3 2. Business Process Management (BPM)... 4 2.1.

More information

Criticism of Implementation of ITSM & ISO20000 in IT Banking Industry. Presented by: Agus Sutiawan, MIT, CISA, CISM, ITIL, BSMR3

Criticism of Implementation of ITSM & ISO20000 in IT Banking Industry. Presented by: Agus Sutiawan, MIT, CISA, CISM, ITIL, BSMR3 Criticism of Implementation of ITSM & ISO20000 in IT Banking Industry Presented by: Agus Sutiawan, MIT, CISA, CISM, ITIL, BSMR3 Outline What is IT Service Management What is ISO 20000 Step by step implementation

More information

Microsoft Office Project Standard 2007 Project Professional 2007. April 2006. February 2006

Microsoft Office Project Standard 2007 Project Professional 2007. April 2006. February 2006 Microsoft Office Project Standard 2007 Project Professional 2007 April 2006 February 2006 February 2006 Table of Contents Overview of Microsoft Office Project Standard 2007 and Office Project Professional

More information

What is Business Process Design and Why Should I Care?

What is Business Process Design and Why Should I Care? What is Business Process Design and Why Should I Care? by Jay Cousins and Tony Stewart, RivCom Ltd Introduction No matter how hard individuals work, they cannot overcome a flawed process design, much less

More information

Achieving Business Analysis Excellence

Achieving Business Analysis Excellence RG Perspective Achieving Business Analysis Excellence Turning Business Analysts into Key Contributors by Building a Center of Excellence Susan Martin March 5, 2013 11 Canal Center Plaza Alexandria, VA

More information

SPECIFICATION BY EXAMPLE. Gojko Adzic. How successful teams deliver the right software. MANNING Shelter Island

SPECIFICATION BY EXAMPLE. Gojko Adzic. How successful teams deliver the right software. MANNING Shelter Island SPECIFICATION BY EXAMPLE How successful teams deliver the right software Gojko Adzic MANNING Shelter Island Brief Contents 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Preface xiii Acknowledgments xxii

More information

Our Approach To Your Business Intelligence Challenges

Our Approach To Your Business Intelligence Challenges Our Approach To Your Business Intelligence Challenges IntelliCo Can Help You Meet Your BI Needs What can we do for your BI challenges? Tailor BI to meet the needs of your organization Provide professional

More information

The Challenge of Process Discovery

The Challenge of Process Discovery The Challenge of Process Discovery Laury Verner CTO, ProActivity Inc. Abstract Capturing and understanding your organization s business processes is a critical step in any business process initiative,

More information

Agilent s Kalabie Electronic Lab Notebook (ELN) Product Overview ChemAxon UGM 2008 Agilent Software and Informatics Division Mike Burke

Agilent s Kalabie Electronic Lab Notebook (ELN) Product Overview ChemAxon UGM 2008 Agilent Software and Informatics Division Mike Burke Agilent s Kalabie Electronic Lab Notebook (ELN) Product Overview ChemAxon UGM 2008 Agilent Software and Informatics Division Mike Burke Kalabie: Extending the OpenLAB Architecture Agilent User Interface

More information

A Closer Look at BPM. January 2005

A Closer Look at BPM. January 2005 A Closer Look at BPM January 2005 15000 Weston Parkway Cary, NC 27513 Phone: (919) 678-0900 Fax: (919) 678-0901 E-mail: info@ultimus.com http://www.ultimus.com The Information contained in this document

More information

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing 1 P a g e Table of Contents What is the key to agility in Data Warehousing?... 3 The need to address requirements completely....

More information

Visionet IT Modernization Empowering Change

Visionet IT Modernization Empowering Change Visionet IT Modernization A Visionet Systems White Paper September 2009 Visionet Systems Inc. 3 Cedar Brook Dr. Cranbury, NJ 08512 Tel: 609 360-0501 Table of Contents 1 Executive Summary... 4 2 Introduction...

More information

BI Project Management Software

BI Project Management Software BI Project Management Software Plan and Manage with Confidence When planning a new project, program managers can search past projects to leverage project assets and resources. With complete project and

More information

The Process Architect: The Smart Role in Business Process Management

The Process Architect: The Smart Role in Business Process Management Redpaper Roland Peisl The Process Architect: The Smart Role in Business Process Management This IBM Redpaper publication describes the concept of business process management (BPM) and specifically focuses

More information

ORGANIZATIONAL KNOWLEDGE MAPPING BASED ON LIBRARY INFORMATION SYSTEM

ORGANIZATIONAL KNOWLEDGE MAPPING BASED ON LIBRARY INFORMATION SYSTEM ORGANIZATIONAL KNOWLEDGE MAPPING BASED ON LIBRARY INFORMATION SYSTEM IRANDOC CASE STUDY Ammar Jalalimanesh a,*, Elaheh Homayounvala a a Information engineering department, Iranian Research Institute for

More information

www.sryas.com Analance Data Integration Technical Whitepaper

www.sryas.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

CHAPTER 4: BUSINESS ANALYTICS

CHAPTER 4: BUSINESS ANALYTICS Chapter 4: Business Analytics CHAPTER 4: BUSINESS ANALYTICS Objectives Introduction The objectives are: Describe Business Analytics Explain the terminology associated with Business Analytics Describe the

More information

Harnessing the power of advanced analytics with IBM Netezza

Harnessing the power of advanced analytics with IBM Netezza IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced

More information

Business Process Management Software Enabling Process Quality

Business Process Management Software Enabling Process Quality ASQ Presentation, June 11, 200 www.6sigmatech.com Business Process Management Software Enabling Process Quality www.handysoft.com Agenda 1. What is Business Process Management (BPM) software 2. Uses in

More information

NAVIGATING THE BIG DATA JOURNEY

NAVIGATING THE BIG DATA JOURNEY Making big data come alive NAVIGATING THE BIG DATA JOURNEY Big Data and Hadoop: Moving from Strategy to Production London Dublin Mumbai Boston New York Atlanta Chicago Salt Lake City Silicon Valley (650)

More information

Cross-Domain Service Management vs. Traditional IT Service Management for Service Providers

Cross-Domain Service Management vs. Traditional IT Service Management for Service Providers Position Paper Cross-Domain vs. Traditional IT for Providers Joseph Bondi Copyright-2013 All rights reserved. Ni², Ni² logo, other vendors or their logos are trademarks of Network Infrastructure Inventory

More information

A Guide Through the BPM Maze

A Guide Through the BPM Maze A Guide Through the BPM Maze WHAT TO LOOK FOR IN A COMPLETE BPM SOLUTION With multiple vendors, evolving standards, and ever-changing requirements, it becomes difficult to recognize what meets your BPM

More information

Seven Ways To Help ERP IN 2014 AND BEYOND

Seven Ways To Help ERP IN 2014 AND BEYOND Seven Ways To Help Data Migration During Implementation SPECial REPORT SERIES ERP IN 2014 AND BEYOND CONTENTS INTRODUCTION 3 Develop a Data MigraTION Plan 4 PerfORM a ThOROUgh Gap Analysis 6 COMMIT ResOURCes

More information

Enterprise Application Performance Management: An End-to-End Perspective

Enterprise Application Performance Management: An End-to-End Perspective SETLabs Briefings VOL 4 NO 2 Oct - Dec 2006 Enterprise Application Performance Management: An End-to-End Perspective By Vishy Narayan With rapidly evolving technology, continued improvements in performance

More information

POLAR IT SERVICES. Business Intelligence Project Methodology

POLAR IT SERVICES. Business Intelligence Project Methodology POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...

More information

In this chapter, you will learn improvement curve concepts and their application to cost and price analysis.

In this chapter, you will learn improvement curve concepts and their application to cost and price analysis. 7.0 - Chapter Introduction In this chapter, you will learn improvement curve concepts and their application to cost and price analysis. Basic Improvement Curve Concept. You may have learned about improvement

More information

Real Life Risk Based Project Management for LEAN and Agile Development

Real Life Risk Based Project Management for LEAN and Agile Development Real Life Risk Based Project Management for LEAN and Agile Development D Clark, J Krumm, S Moen, K Snodgrass, A Morris U.S. Department of Transportation John A. Volpe National Transportation Systems Center

More information

BPM 101: Selecting a Business Performance Management Vendor

BPM 101: Selecting a Business Performance Management Vendor A BPM Partners White Paper BPM 101: Selecting a Business Performance Management Vendor October 2008 Selecting a vendor for business performance management (BPM) is not an easy task. It is necessary to

More information

Business Process Modeling with Structured Scenarios

Business Process Modeling with Structured Scenarios Business Process Modeling with Structured Scenarios Doug Rosenberg ICONIX Software Engineering, Inc. In 2008, based on our experience with a number of business process engineering projects over the last

More information

Performance Workload Design

Performance Workload Design Performance Workload Design The goal of this paper is to show the basic principles involved in designing a workload for performance and scalability testing. We will understand how to achieve these principles

More information

Enterprise Architecture Assessment Guide

Enterprise Architecture Assessment Guide Enterprise Architecture Assessment Guide Editorial Writer: J. Schekkerman Version 2.2 2006 Preface An enterprise architecture (EA) establishes the organization-wide roadmap to achieve an organization s

More information

Building a Data Quality Scorecard for Operational Data Governance

Building a Data Quality Scorecard for Operational Data Governance Building a Data Quality Scorecard for Operational Data Governance A White Paper by David Loshin WHITE PAPER Table of Contents Introduction.... 1 Establishing Business Objectives.... 1 Business Drivers...

More information

NASCIO EA Development Tool-Kit Solution Architecture. Version 3.0

NASCIO EA Development Tool-Kit Solution Architecture. Version 3.0 NASCIO EA Development Tool-Kit Solution Architecture Version 3.0 October 2004 TABLE OF CONTENTS SOLUTION ARCHITECTURE...1 Introduction...1 Benefits...3 Link to Implementation Planning...4 Definitions...5

More information

Prolifics BPM Methodology 5 Steps to Improve Your Process and Build Your Evidence-Based Business Case

Prolifics BPM Methodology 5 Steps to Improve Your Process and Build Your Evidence-Based Business Case Prolifics BPM Methodology 5 Steps to Improve Your Process and Build Your Evidence-Based Business Case Author: Hanna Aljaliss Solution Architect, BPM and Connectivity May 8, 2011 Introduction Business process

More information

CRGroup Whitepaper: Digging through the Data. www.crgroup.com. Reporting Options in Microsoft Dynamics GP

CRGroup Whitepaper: Digging through the Data. www.crgroup.com. Reporting Options in Microsoft Dynamics GP CRGroup Whitepaper: Digging through the Data Reporting Options in Microsoft Dynamics GP The objective of this paper is to provide greater insight on each of the reporting options available to you within

More information

Data Governance on Well Header. Not Only is it Possible, Where Else Would you Start!

Data Governance on Well Header. Not Only is it Possible, Where Else Would you Start! Data Governance on Well Header Not Only is it Possible, Where Else Would you Start! Agenda Intro (Noah) A (not so) Brief History Methodology Prioritization Why Well Header Attribute versus Process Oriented

More information

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION CHAPTER 1 INTRODUCTION 1.1 Research Motivation In today s modern digital environment with or without our notice we are leaving our digital footprints in various data repositories through our daily activities,

More information

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities April, 2013 gaddsoftware.com Table of content 1. Introduction... 3 2. Vendor briefings questions and answers... 3 2.1.

More information

BPMN ANALYSIS OF PUBLIC PROCUREMENT Maria Semerdjieva, Evgeniy Krastev

BPMN ANALYSIS OF PUBLIC PROCUREMENT Maria Semerdjieva, Evgeniy Krastev Serdica J. Computing 6 (2012), 195 206 BPMN ANALYSIS OF PUBLIC PROCUREMENT Maria Semerdjieva, Evgeniy Krastev Abstract. This paper formulates a realistic case study of a public procurement process, where

More information

NightOwlDiscovery. EnCase Enterprise/ ediscovery Strategic Consulting Services

NightOwlDiscovery. EnCase Enterprise/ ediscovery Strategic Consulting Services EnCase Enterprise/ ediscovery Strategic Consulting EnCase customers now have a trusted expert advisor to meet their discovery goals. NightOwl Discovery offers complete support for the EnCase Enterprise

More information

MTAT.03.231 Business Process Management (BPM) (for Masters of IT) Lecture 2: Introduction to BPMN

MTAT.03.231 Business Process Management (BPM) (for Masters of IT) Lecture 2: Introduction to BPMN MTAT.03.231 Business Process Management (BPM) (for Masters of IT) Lecture 2: Introduction to BPMN Marlon Dumas marlon.dumas ät ut. ee How to engage in BPM? 1. Opportunity assessment 2. Process modelling

More information

Test Automation Process

Test Automation Process A white Success The performance testing helped the client identify and resolve performance bottlenecks which otherwise crippled the business. The ability to support 500 concurrent users Test Automation

More information

A Characterization Taxonomy for Integrated Management of Modeling and Simulation Tools

A Characterization Taxonomy for Integrated Management of Modeling and Simulation Tools A Characterization Taxonomy for Integrated Management of Modeling and Simulation Tools Bobby Hartway AEgis Technologies Group 631 Discovery Drive Huntsville, AL 35806 256-922-0802 bhartway@aegistg.com

More information

Who s Selling BPM to Whom?

Who s Selling BPM to Whom? December 3, 2013 Paul Harmon Who s Selling BPM to Whom? I attended the IBM BPM Analysts Meeting in October and one of the sessions I found most interesting was a discussion of the job titles of people

More information

Business Process Modeling Information Systems in Industry (372-1-4207 )

Business Process Modeling Information Systems in Industry (372-1-4207 ) Business Process Modeling Information Systems in Industry (372-1-4207 ) Arnon Sturm The material of this presentation is adopted from various people including:, Pnina Soffer, Iris Reinhartz-Berger 1 Outline

More information

Introduction. Architecture Re-engineering. Systems Consolidation. Data Acquisition. Data Integration. Database Technology

Introduction. Architecture Re-engineering. Systems Consolidation. Data Acquisition. Data Integration. Database Technology Introduction Data migration is necessary when an organization decides to use a new computing system or database management system that is incompatible with the current system. Architecture Re-engineering

More information

CRISP-DM, which stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts.

CRISP-DM, which stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts. CRISP-DM, which stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts. As a methodology, it includes descriptions of the typical phases

More information

White Paper. Five Ways to Empower Business Analysts and Succeed in Your Self-Service BI Program

White Paper. Five Ways to Empower Business Analysts and Succeed in Your Self-Service BI Program White Paper Five Ways to Empower Business Analysts and Succeed in Your Self-Service BI Program WiseAnalytics 118 Montgomery Ave, Suite 113W Toronto, ON M4R 1E3 T 617-381-4251 e-mail lwise@wiseanalytics.com

More information

Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot

Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot www.etidaho.com (208) 327-0768 Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot 3 Days About this Course This course is designed for the end users and analysts that

More information

Master Reference Data: Extract Value from your Most Common Data. White Paper

Master Reference Data: Extract Value from your Most Common Data. White Paper Master Reference Data: Extract Value from your Most Common Data White Paper Table of Contents Introduction... 3 So What?!? Why align Reference Data?... 4 MDM Makes MDM Better... 5 Synchronize, Integrate

More information